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Andy He's Projects

3dunetcnn icon 3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

aaai18-code icon aaai18-code

The code of AAAI18 paper "Learning Structured Representation for Text Classification via Reinforcement Learning".

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

arga icon arga

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

awesome icon awesome

:sunglasses: Curated list of awesome lists

awesome-deep-learning-resources icon awesome-deep-learning-resources

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully.

awesome-deepbio icon awesome-deepbio

A curated list of awesome deep learning applications in the field of computational biology

awesome-graph-embedding icon awesome-graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-public-datasets icon awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-rl-nlp icon awesome-rl-nlp

Curated Reinforcement Learning Resources for Natural Language Processing

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